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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F13%3A86083452%21RIV14-MSM-27740___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
This paper describes a new iterative numerical algorithm for optimal maintenance strategy respecting a given reliability constraint. It stems from the previous author’s research work which brings a new direct analytical method that enables exact reliability quantifications of highly reliable systems with maintenance (both preventive and corrective), i.e. the instantaneous unavailability function is computed in full machine accuracy. The method takes into account systems with highly reliable and maintained components, including repairable components undergoing to hidden failures. The new numerical algorithm for maintenance optimization introduced in this article fully respects previously developed exact computing methodology to solve a cost-optimization problem where decision variable is maintenance. The algorithm which is based on merits of a high-performance language for technical computing MATLAB, results from linear approximation of total system cost that is supposed to be a linear function of frequency of maintenance and from limiting unavailability approximation in each iteration step. The optimization method is demonstrated on two systems from practice – a real power distribution network and high pressure injection system of a nuclear power plant. This paper describes a new iterative numerical algorithm for optimal maintenance strategy respecting a given reliability constraint. It stems from the previous author’s research work which brings a new direct analytical method that enables exact reliability quantifications of highly reliable systems with maintenance (both preventive and corrective), i.e. the instantaneous unavailability function is computed in full machine accuracy. The method takes into account systems with highly reliable and maintained components, including repairable components undergoing to hidden failures. The new numerical algorithm for maintenance optimization introduced in this article fully respects previously developed exact computing methodology to solve a cost-optimization problem where decision variable is maintenance. The algorithm which is based on merits of a high-performance language for technical computing MATLAB, results from linear approximation of total system cost that is supposed to be a linear function of frequency of maintenance and from limiting unavailability approximation in each iteration step. The optimization method is demonstrated on two systems from practice – a real power distribution network and high pressure injection system of a nuclear power plant.
dcterms:title
Effective computing algorithm for maintenance optimization of highly reliable systems Effective computing algorithm for maintenance optimization of highly reliable systems
skos:prefLabel
Effective computing algorithm for maintenance optimization of highly reliable systems Effective computing algorithm for maintenance optimization of highly reliable systems
skos:notation
RIV/61989100:27740/13:86083452!RIV14-MSM-27740___
n15:predkladatel
n19:orjk%3A27740
n3:aktivita
n10:P n10:I
n3:aktivity
I, P(ED1.1.00/02.0070)
n3:cisloPeriodika
January 2013
n3:dodaniDat
n13:2014
n3:domaciTvurceVysledku
n4:6396038
n3:druhVysledku
n14:J
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
71854
n3:idVysledku
RIV/61989100:27740/13:86083452
n3:jazykVysledku
n5:eng
n3:klicovaSlova
unavailability; optimization; maintenance; exact computing
n3:klicoveSlovo
n6:unavailability n6:exact%20computing n6:maintenance n6:optimization
n3:kodStatuVydavatele
GB - Spojené království Velké Británie a Severního Irska
n3:kontrolniKodProRIV
[99BC7AD8C3DD]
n3:nazevZdroje
Reliability engineering and system safety
n3:obor
n9:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n11:ED1.1.00%2F02.0070
n3:rokUplatneniVysledku
n13:2013
n3:svazekPeriodika
109
n3:tvurceVysledku
Briš, Radim Byczanski, Petr
n3:wos
000310822400010
s:issn
0951-8320
s:numberOfPages
9
n16:doi
10.1016/j.ress.2012.08.010
n20:organizacniJednotka
27740